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The latest from our quest to advance decision-making.

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Simulate users in any language
User models Product

Simulate users in any language

We can now build user models of people who speak languages other than English. They're built from real human data in that language and validated to the same state-of-the-art accuracy as English models.

Joseph Wright Joseph Wright
Introducing Projects: enter an iterative loop with the future
Product

Introducing Projects: enter an iterative loop with the future

Projects puts an agent in charge of simulating your users. Describe a decision or upload a spec and the agent will plan multiple simulations to predict the consequences of making the change. Apply the findings to v2 and re-simulate to find an even better solution.

Joseph Wright Joseph Wright
Anacreon: state-of-the-art accuracy in simulating individuals
Research Company User models

Anacreon: state-of-the-art accuracy in simulating individuals

Anacreon predicts how individual people answer new questions, not just population averages, preserving diverse and minority group opinions. It achieves a state-of-the-art ordinal alignment of 0.775, the individual-level accuracy measure on which the field has converged.

Pranav Dahiya Pranav Dahiya
How MONEYME settled a positioning question that had been open for months
Company User models

How MONEYME settled a positioning question that had been open for months

MONEYME launches credit products and changes its messaging more often than research with real people can keep up with. Its teams now have a model of 450 everyday Australians, each one its own fine-tuned LLM, that they can consult in minutes.

Fabian Teichmueller Fabian Teichmueller
What we found when we audited 1,000 predictions
User models Product

What we found when we audited 1,000 predictions

Sometimes a Semilattice prediction lands with one answer at 99.8%, or two answers stacked at 99.9% combined. We decided to run an audit to diagnose what was happening.

Joseph Wright Joseph Wright
Context
Product

Context

We built the simulation first. We're now starting to think that simulation is what makes a context engine useful, and context is what makes simulation useful. They need each other.

Fabian Teichmueller Fabian Teichmueller
Cut through decision noise with audience simulation
Product

Cut through decision noise with audience simulation

Early-stage product decisions are made in a noise-rich, data-poor environment, often informed more by assumption than data. Semilattice helps product managers cut through the noise of internal alignment, letting them share their audience’s voice with teams and execs.

Fabian Teichmueller Fabian Teichmueller
Humans + Time
Company

Humans + Time

Semilattice believes significant advances in decision-making, management, and governance are possible, but only if we can accurately model the complex human systems which run the world.

Joseph Wright Joseph Wright